Module Handbook

  • Dynamischer Default-Fachbereich geändert auf INF

Course INF-73-51-K-5

3D Computer Vision (2V+1U, 4.0 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
- K Lecture with exercise classes (V/U) 4.0 CP 78 h
2 V Lecture 28 h
1 U Exercise class (in small groups) 14 h
(2V+1U) 4.0 CP 42 h 78 h

Basedata

SWS 2V+1U
CP, Effort 4.0 CP = 120 h
Position of the semester 1 Sem. in WiSe
Level [5] Master (Entry Level)
Language [DE/EN] German or English as required
Lecturers
Area of study [INF-KI] Intelligent Systems
Livecycle-State [NORM] Active

Possible Study achievement

  • Verification of study performance: proof of successful participation in the exercise classes (ungraded)
  • Details of the examination (type, duration, criteria) will be announced at the beginning of the course.

Contents

  • Projective geometry
  • Camera models
  • Camera calibration
  • Parameter estimation methods
  • Epipolar geometry
  • Structure and motion from two and many views
  • 3D reconstruction
  • Reconstruction based on structured light

Literature

  • Faugeras, Olivier. Three-dimensional computer vision: a geometric viewpoint. MIT press, 1993.
  • Gortler, Steven J. Foundations of 3D computer graphics. MIT Press, 2012.
  • Hartley, Richard, and Andrew Zisserman. Multiple view geometry in computer vision. Cambridge university press, 2003.

Requirements for attendance (informal)

None

Requirements for attendance (formal)

None

References to Course [INF-73-51-K-5]

Module Name Context
[INF-73-51-M-5] 3D Computer Vision P: Obligatory 2V+1U, 4.0 LP
Course-Pool Name
[INF-KI_V-KPOOL-6] Lectures of the teaching area Intelligent Systems